38 citations · 107 across the 11 of their papers we have counts for
12 papers
Combining physical models with dynamically acquired experimental information for the optimization of multicomponent NASICON fast ionic conductors in a self-driving laboratory
Bernardus Rendy, Yuxing Fei, Tanjin He +9
Elemental substitution within existing structural frameworks is a widely applied strategy for developing advanced materials. Yet, optimizing target properties while maintaining pha…
The Precursor Genome: A Pairwise Reaction Dataset for Solid-State Synthesis
Lauren N. Walters, Matthew J. McDermott, Bernardus Rendy +3
Solid-state reactions remain the dominant route to inorganic materials, yet no large, machine-readable dataset reports their experimental protocols and outcomes with consistent pro…
Dara: Automated multiple-hypothesis phase identification and refinement from powder X-ray diffraction
Yuxing Fei, Matthew J. McDermott, Christopher L. Rom +2
Powder X-ray diffraction (XRD) is a foundational technique for characterizing crystalline materials. However, the reliable interpretation of XRD patterns, particularly in multiphas…
Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides
Haiwen Dai, Matthew J. McDermott, Andy Paul Chen +19
Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and…
Synthetic accessibility and sodium ion conductivity of the NaAPO (NAP) high-temperature sodium superionic conductor framework
Lauren N. Walters, Yuxing Fei, Bernardus Rendy +13
Advancement of solid state electrolytes (SSEs) for all solid state batteries typically focuses on modification of a parent structural framework for improved conductivity, \textit{e…
ReactCA: A Cellular Automaton for Predicting Phase Evolution in Solid-State Reactions
Max C. Gallant, Matthew J. McDermott, Bryant Li +1
New computational tools for solid-state synthesis recipe design are needed in order to accelerate the experimental realization of novel functional materials proposed by high-throug…
AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories
Yuxing Fei, Bernardus Rendy, Rishi Kumar +10
The recent advent of autonomous laboratories, coupled with algorithms for high-throughput screening and active learning, promises to accelerate materials discovery and innovation.…
The ab initio amorphous materials database: Empowering machine learning to decode diffusivity
Hui Zheng, Eric Sivonxay, Max Gallant +4
Amorphous materials exhibit unique properties that make them suitable for various applications in science and technology, ranging from optical and electronic devices and solid-stat…
Mechanistically-guided materials chemistry: synthesis of new ternary nitrides, CaZrN and CaHfN
Christopher L. Rom, Andrew Novick, Matthew J. McDermott +13
Recent computational studies have predicted many new ternary nitrides, revealing synthetic opportunities in this underexplored phase space. However, synthesizing new ternary nitrid…
Assessing Thermodynamic Selectivity of Solid-State Reactions for the Predictive Synthesis of Inorganic Materials
Matthew J. McDermott, Brennan C. McBride, Corlyn Regier +11
Synthesis is a major challenge in the discovery of new inorganic materials. Currently, there is limited theoretical guidance for identifying optimal solid-state synthesis procedure…
Modernist Materials Synthesis: Finding Thermodynamic Shortcuts with Hyperdimensional Chemistry
James R Neilson, Matthew J McDermott, Kristin A Persson
Synthesis remains a challenge for advancing materials science. A key focus of this challenge is how to enable selective synthesis, particularly as it pertains to metastable materia…
Crystal Toolkit: A Web App Framework to Improve Usability and Accessibility of Materials Science Research Algorithms
Matthew Horton, Jimmy-Xuan Shen, Jordan Burns +21
Crystal Toolkit is an open source tool for viewing, analyzing and transforming crystal structures, molecules and other common forms of materials science data in an interactive way.…